Search found 10 matches
- Mon Jun 12, 2017 11:23 pm
- Forum: APBRmetrics
- Topic: 2017 NBA Draft Models
- Replies: 36
- Views: 49708
Re: 2017 NBA Draft Models
Still some players to get to but current top 14 1 - Josh Jackson 2 - Lonzo Ball 3 - Anzejs Pasecniks 4 - Jawun Evans 5 - Dennis Smith 6 - Mathias Lessort 7 - T.J. Leaf 8 - Jordan Bell 9 - Thomas Bryant 10 - Markelle Fultz 11 - Sindarious Thornwell 12 - Jayson Tatum 13 - Jonathan Isaac 14 - OG Anuno...
- Tue May 30, 2017 1:33 am
- Forum: APBRmetrics
- Topic: 2017 NBA Draft Models
- Replies: 36
- Views: 49708
Re: 2017 NBA Draft Models
Ben Simmons A/TO against low-major teams (according to Draftexpress): About 3.2 to 1. Against power conferences, less than 1.4. From DX writeup: "Opponents were able to neutralize him very effectively in the half-court as the season moved on, simply backing five feet off him. Simmons would res...
- Sat May 27, 2017 3:41 am
- Forum: APBRmetrics
- Topic: 2017 NBA Draft Models
- Replies: 36
- Views: 49708
Re: 2017 NBA Draft Models
Simmons has few similar players which makes sense given his rare combination of size, rebounding, scoring, and playmaking. how about evan turner, draymond green, and/or royce white?... Those are players with the aforementioned skillet. Why are they not similar to Simmons (high level perspective) by...
- Sat May 27, 2017 2:44 am
- Forum: APBRmetrics
- Topic: 2017 NBA Draft Models
- Replies: 36
- Views: 49708
Re: 2017 NBA Draft Models
Ben Simmons... tbd... but similarities all to big men. J Randle #1 similar but rest with very little assist-making even for bigs. Simmons has few similar players which makes sense given his rare combination of size, rebounding, scoring, and playmaking. Randle happens to be the most similar but sim ...
- Sat May 27, 2017 2:40 am
- Forum: APBRmetrics
- Topic: 2017 NBA Draft Models
- Replies: 36
- Views: 49708
Re: 2017 NBA Draft Models
Just for my own curiosity why simulated annealing as opposed to other optimization algorithms like MIMIC or HCRR. Honestly, no particular reason. Could definitely opt for a different optimization algorithm but simulated annealing worked well in our exploration and had easy implementation so we stuc...
- Thu May 25, 2017 5:49 pm
- Forum: APBRmetrics
- Topic: 2017 NBA Draft Models
- Replies: 36
- Views: 49708
Re: 2017 NBA Draft Models
Saw you include high school recruiting rankings. How big a weight? (Don't have to give exact weight I'd you don't want to but would you call it light or moderate?) Any study of indicator value of what college / coach they picked / which & which "level" (college performance or future p...
- Wed May 24, 2017 2:55 am
- Forum: APBRmetrics
- Topic: 2017 NBA Draft Models
- Replies: 36
- Views: 49708
2017 NBA Draft Models
I know there is already a 2017 Draft Analytics thread (so Crow feel free to bump) but figured I would throw this one out to gear more towards rankings / ratings of players from a Draft Model perspective. I would love to get some comparisons with those sharing their draft model work publicly and/or d...
- Wed Apr 26, 2017 2:30 am
- Forum: APBRmetrics
- Topic: 2017 draft analytics
- Replies: 71
- Views: 88719
Re: 2017 draft analytics
Step 1 - Overall statistical rating (Similar to other draft models - players who perform well in all stats, high steal/assist combo, etc.) Do you create an actual draft model that predicts a value for this step? Or use advanced statistics and general box score statistics to gauge? Step 2 - How the ...
- Sat Apr 22, 2017 4:43 pm
- Forum: APBRmetrics
- Topic: 2017 draft analytics
- Replies: 71
- Views: 88719
Re: 2017 draft analytics
Care to share your "new" method of analysis? Interesting to see Josh Jackson come out as the top prospect. I would be somewhat surprised if he came out a top prospect in our model given his horrendous free throw shooting numbers. Changing my method of analysis a little this year and Josh J...
- Sat Apr 01, 2017 2:04 pm
- Forum: APBRmetrics
- Topic: 2017 draft analytics
- Replies: 71
- Views: 88719
Re: 2017 draft analytics
I have not done any draft modeling outside of analyzing college stats but for those who have, is any weight put on high school data? For the most part, I'm talking about the 1-and-done players. I imagine you run into the issues of adjusting for competition, actual data (outside of the top Nike/Adid...